Software Engineering Manager, AI for Wearables and Health.

What you'll do

• Manage research and engineering teams working on AI for wearables and health, including post-training, sensor fusion, and biometric modeling.
• Set research strategy and roadmap, and provide technical direction across experiments, model architecture, and publication strategy.
• Partner across research, hardware, product, and engineering teams to turn advances into device improvements while developing talent and responsible practices.

What they ask for

• 8+ years of experience in machine learning research or applied machine learning.
• 4+ years of experience managing research or engineering teams, including other research leaders or technical leads.
• Experience driving research strategy across the ML lifecycle and translating research into measurable consumer-device outcomes with cross-functional teams.
• Experience recruiting and developing research scientists; optimizing on-device ML; implementing responsible AI; and managing teams working on LLM applications in consumer tech.

Nice to have

• Track record of impactful publications at NeurIPS, ICML, ICLR, CHIL, or equivalent venues.
• Demonstrated ability to integrate AI tools into workflows and ongoing AI skill development, such as prompt/context engineering or agent orchestration.

Pay

$219,000/year to $301,000/year USD base salary

Tools

LLM mid/post-training, model compression, efficient inference, NeurIPS, ICML, ICLR, CHIL

AI focus

Research and management of AI for wearables and health, including machine learning, biometric modeling, sensor fusion, on-device deployment, and applications of large language models.